deepseek-v4-flash:0731
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Chat comparison
deepseek-v4-flash:0731vskimi-k2.7-code
Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.
Current pricing
See the cost difference clearly
kimi-k2.7-code
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What's different
Only capabilities that differ between these models are listed. Green highlights the broader supported option or larger context window.
Context window
deepseek-v4-flash:0731Better fit
1,024,000 tokens
kimi-k2.7-code
256,000 tokens
Capability scores
AI-estimated ratings on 30 criteria from head-to-head comparisons against 86 other text models in the LLM7 catalog, judged by TypeSafe Jev from public information (2026-10-20). Each score is the win rate against the field, relative to the strongest model for that criterion (100%). Not a benchmark.
Below 50%50–79%80–94%95%+
deepseek-v4-flash:0731 · leads in 25
66%
Moderate
kimi-k2.7-code · leads in 4
53%
Moderate
Knowledge & reasoning
General knowledge
deepseek-v4-flash:0731Leads53%kimi-k2.7-code37%Logical reasoning
deepseek-v4-flash:0731Leads68%kimi-k2.7-code59%Mathematics
deepseek-v4-flash:0731Leads87%kimi-k2.7-code68%Scientific and technical depth
deepseek-v4-flash:0731Leads71%kimi-k2.7-code56%Planning and task decomposition
deepseek-v4-flash:0731Leads66%kimi-k2.7-code62%
Coding & tools
Code generation
deepseek-v4-flash:073176%kimi-k2.7-codeLeads87%Debugging and code review
deepseek-v4-flash:073179%kimi-k2.7-codeLeads88%Agentic coding
deepseek-v4-flash:073180%kimi-k2.7-codeLeads81%Tool and function calling
deepseek-v4-flash:0731Leads64%kimi-k2.7-code58%SQL and query writing
deepseek-v4-flash:073180%kimi-k2.7-codeLeads84%
Writing & language
Creative writing
deepseek-v4-flash:0731Leads44%kimi-k2.7-code36%Professional writing
deepseek-v4-flash:0731Leads53%kimi-k2.7-code39%Conversational quality
deepseek-v4-flash:0731Leads51%kimi-k2.7-code41%Multilingual ability
deepseek-v4-flash:0731Leads68%kimi-k2.7-code55%Translation
deepseek-v4-flash:0731Leads60%kimi-k2.7-code48%Summarization
deepseek-v4-flash:0731Leads67%kimi-k2.7-code48%
Data & professional work
Data analysis
deepseek-v4-flash:0731Leads74%kimi-k2.7-code59%Professional domains
deepseek-v4-flash:0731Leads56%kimi-k2.7-code43%Information extraction
deepseek-v4-flash:0731Leads69%kimi-k2.7-code52%Classification and labeling
deepseek-v4-flash:0731Leads70%kimi-k2.7-code44%Long-context handling
deepseek-v4-flash:0731Leads89%kimi-k2.7-code52%
Reliability & control
Instruction following
deepseek-v4-flash:0731Leads58%kimi-k2.7-code50%Structured output
deepseek-v4-flash:0731Leads67%kimi-k2.7-code59%Factual accuracy
deepseek-v4-flash:0731Leads54%kimi-k2.7-code44%Safety and alignment
deepseek-v4-flash:0731Leads40%kimi-k2.7-code39%Steerability
deepseek-v4-flash:0731Leads53%kimi-k2.7-code45%Output consistency
deepseek-v4-flash:0731Leads60%kimi-k2.7-code53%
Speed, cost & vision
Response speed
deepseek-v4-flash:0731Leads82%kimi-k2.7-code30%Cost efficiency
deepseek-v4-flash:0731Leads79%kimi-k2.7-code34%Image understanding
deepseek-v4-flash:0731No image inputkimi-k2.7-codeNo image input
Latest LLM7 statistics
Recent aggregated percentages and response-time metrics from LLM7, not a global model benchmark or traffic disclosure.
Recent stability
deepseek-v4-flash:0731
99.96%
kimi-k2.7-code
99.83%
Average response time
deepseek-v4-flash:0731
8,511.8 ms
kimi-k2.7-code
6,571.81 ms
P95 API latency
deepseek-v4-flash:0731
30,000 ms
kimi-k2.7-code
30,000 ms
Side-by-side trends
Shared charts make the observed differences easier to read. Metrics without enough history stay hidden.
Request success rate
Both models on the same scale
deepseek-v4-flash:0731: 100%kimi-k2.7-code: 100%
Average API latency
Both models on the same scale
deepseek-v4-flash:0731: 9,289 mskimi-k2.7-code: 1,138 ms
P95 API latency
Both models on the same scale
deepseek-v4-flash:0731: 30,000 mskimi-k2.7-code: 2,000 ms
Estimate your workload
Published rates are loaded from the pricing API; per-request quotes are billed from actual provider usage.
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Quick take
- deepseek-v4-flash:0731 has a larger context window.
- The recent stability rates are too close to distinguish meaningfully.